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Download QR code; Print/export Download as PDF; Printable version ... This is a list of educational software that is computer software whose primary purpose is ...
OpenAI Whisper architecture A standard Transformer architecture, showing on the left an encoder, and on the right a decoder. The Whisper architecture is based on an encoder-decoder transformer. [1] Input audio is resampled to 16,000 Hz and converting to an 80-channel log-magnitude Mel spectrogram using 25 ms windows with a 10 ms stride. The ...
XML-based rules can be created using an online form. [ 9 ] More recent developments rely on large n-gram libraries that offer suggestions for improving misspellings with the help of artificial neural networks .
Tanagra is a free suite of machine learning software for research and academic purposes developed by Ricco Rakotomalala at the Lumière University Lyon 2, France. [1] [2] Tanagra supports several standard data mining tasks such as: Visualization, Descriptive statistics, Instance selection, feature selection, feature construction, regression, factor analysis, clustering, classification and ...
Decoding of the speech (the term for what happens when the system is presented with a new utterance and must compute the most likely source sentence) would probably use the Viterbi algorithm to find the best path, and here there is a choice between dynamically creating a combination hidden Markov model, which includes both the acoustic and ...
Azure Dev Tools for Teaching (previously known as Microsoft Imagine Standard and Premium) is a subscription-based offering for accredited schools and departments providing access to tools commonly used in science, technology, engineering, and math (STEM) programs.
The Kodu tool is available in three forms: PC as a free download in public beta and academic forms, and as a low-cost Xbox 360 Live download. Logo is an educational language for children designed in 1967 by Daniel G. Bobrow, Wally Feurzeig, Seymour Papert and Cynthia Solomon.
These models differ from an encoder-decoder NMT system in a number of ways: [35]: 1 Generative language models are not trained on the translation task, let alone on a parallel dataset. Instead, they are trained on a language modeling objective, such as predicting the next word in a sequence drawn from a large dataset of text.